Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic X-ray motion tracking

Détails

ID Serval
serval:BIB_A6A0ABD246D2
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic X-ray motion tracking
Titre de la conférence
Medical Imaging 2008: Image Processing
Auteur(s)
Zosso D., Le Callennec B., Bach C.M., Aminian K., Jolles B.M., Thiran J.P.
Adresse
San Diego, United-States, February 17-19, 2008
ISBN
0277-786X
Statut éditorial
Publié
Date de publication
2008
Volume
6914
Série
Proceedings of SPIE
Pages
I9140-I9140
Langue
anglais
Notes
Publication type : Proceedings Paper
Résumé
In this paper we present a new method to track bonemovements in stereoscopic X-ray image series of the kneejoint. The method is based on two different X-ray imagesets: a rotational series of acquisitions of the stillsubject knee that will allow the tomographicreconstruction of the three-dimensional volume (model),and a stereoscopic image series of orthogonal projectionsas the subject performs movements. Tracking the movementsof bones throughout the stereoscopic image series meansto determine, for each frame, the best pose of everymoving element (bone) previously identified in the 3Dreconstructed model. The quality of a pose is reflectedin the similarity between its simulated projections andthe actual radiographs. We use direct Fourierreconstruction to approximate the three-dimensionalvolume of the knee joint. Then, to avoid the expensivecomputation of digitally rendered radiographs (DRR) forpose recovery, we reformulate the tracking problem in theFourier domain. Under the hypothesis of parallel X-raybeams, we use the central-slice-projection theorem toreplace the heavy 2D-to-3D registration of projections inthe signal domain by efficient slice-to-volumeregistration in the Fourier domain. Focusing onrotational movements, the translation-relevant phaseinformation can be discarded and we only consider scalarFourier amplitudes. The core of our motion trackingalgorithm can be implemented as a classical frame-wiseslice-to-volume registration task. Preliminary results onboth synthetic and real images confirm the validity ofour approach.
Mots-clé
registration, X-ray, motion analysis, COMPUTER-TOMOGRAPHY, RECONSTRUCTION
Création de la notice
29/11/2011 17:40
Dernière modification de la notice
20/08/2019 16:11
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